Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods

This research objective was to design PS-based methods with weighted regression and resampling approaches to improve and extend PVB correction under MAR and MNAR assumptions. Three MAR PS-based methods of PVB correction were proposed: 1) Inverse probability weighted logistic regression (IPWLogReg),...

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Main Author:	Wan Mansor, Wan Nor Arifin
Format:	Thesis
Language:	English
Published:	2023
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/60584/1/Pages%20from%20WAN%20NOR%20ARIFIN%20BIN%20WAN%20MANSOR%20-%20TESIS-2.pdf
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id	my-usm-ep.60584
record_format	uketd_dc
spelling	my-usm-ep.605842024-05-08T03:34:00Z Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods 2023-06 Wan Mansor, Wan Nor Arifin QA75.5-76.95 Electronic computers. Computer science This research objective was to design PS-based methods with weighted regression and resampling approaches to improve and extend PVB correction under MAR and MNAR assumptions. Three MAR PS-based methods of PVB correction were proposed: 1) Inverse probability weighted logistic regression (IPWLogReg), 2) Scaled inverse probability weighted resampling (SIPW-Resamp) and 3) Scaled inverse probability weighted balanced resampling (SIPW-BalResamp). 2023-06 Thesis http://eprints.usm.my/60584/ http://eprints.usm.my/60584/1/Pages%20from%20WAN%20NOR%20ARIFIN%20BIN%20WAN%20MANSOR%20-%20TESIS-2.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer ( School of Computer Sciences)
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Wan Mansor, Wan Nor Arifin Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
description	This research objective was to design PS-based methods with weighted regression and resampling approaches to improve and extend PVB correction under MAR and MNAR assumptions. Three MAR PS-based methods of PVB correction were proposed: 1) Inverse probability weighted logistic regression (IPWLogReg), 2) Scaled inverse probability weighted resampling (SIPW-Resamp) and 3) Scaled inverse probability weighted balanced resampling (SIPW-BalResamp).
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Wan Mansor, Wan Nor Arifin
author_facet	Wan Mansor, Wan Nor Arifin
author_sort	Wan Mansor, Wan Nor Arifin
title	Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_short	Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_full	Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_fullStr	Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_full_unstemmed	Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_sort	partial verification bias correction in diagnostic accuracy studies using propensity score-based methods
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Komputer ( School of Computer Sciences)
publishDate	2023
url	http://eprints.usm.my/60584/1/Pages%20from%20WAN%20NOR%20ARIFIN%20BIN%20WAN%20MANSOR%20-%20TESIS-2.pdf
_version_	1804888968606515200

Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods

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